Андрій Козаченко 🇺🇦

[precis0x @precisox]

El ingeniero que creó claude code acaba de soltar un video de 28 minutos donde te enseña a escribir prompts que realmente funcionan.

He visto cursos de 300 dólares que no llegan ni a la mitad de lo que explica en los primeros 10 minutos.

Archivos CLAUDE.md, atajos de memoria, sesiones paralelas y patrones de prompting que cambian el juego.

Todo en un solo video y completamente gratis.

Da igual si eres desarrollador, principiante o ya llevas meses usando Claude. Esto te va a volar la cabeza.

[Hamza Khalid @humzaakhalid]

THIS IS KARPATHY'S OBSIDIAN VAULT, THE BRAIN BEHIND A MILLION-DOLLAR COMPANY

This is every idea, every decision, and every connection one person has made over years of work, visualized in real time.

The human brain processes up to 11,000,000 bits of information per second, but consciously uses only 50.

Inside this network:

→ thousands of nodes
→ hundreds of active links between ideas
→ 140+ decision-making processes per hour of work
→ years of compressed thinking living inside a single system

make sure to bookmark it before it gets lost in your feed

below I wrote a guide on how you can build yours for FREE (2 mins setup)

[鸟哥 | 蓝鸟会🕊️ @NFTCPS]

家人们，今天给你们扒10个GitHub上免费到离谱的仓库，每一个都能干掉你正在按月交钱的软件，看完别说鸟哥没提醒你。

1️⃣ TradingAgents
一整支AI分析师团队在你电脑里吵架做单。基本面、情绪、新闻、技术分析师同时开工，最后风险经理和执行代理拍板。等于把一支华尔街团队7×24小时塞进你笔记本，还不要工资。
🔗 https://t.co/kwYRkz5PuO

2️⃣ LibreChat
一个界面把ChatGPT、Claude、Gemini、DeepSeek等20多个模型全收了，支持自托管和原生MCP。数据是你的，基础设施是你的。能自己跑，凭啥还交月费？
🔗 https://t.co/V3iCwASOCA

3️⃣ HyperFrames
HeyGen把自家视频引擎开源了。写个HTML就能产出生产级MP4，原生支持GSAP、Lottie、Three.js，同样输入永远同样输出。
🔗 https://t.co/6Gp8NAb38O

4️⃣ Fincept Terminal
笔记本上跑的彭博终端平替，AI投资代理灵感来自传奇投资人。深度财报分析、市场情报、几十个数据源，企业级的钱一分不用掏。
🔗 https://t.co/e0Fgr7sK1S

5️⃣ MoneyPrinterTurbo
丢个关键词，脚本、画面、字幕、音乐、成片一条龙。横屏竖屏随便选，基本不用动手剪。
🔗 https://t.co/yFPFib4nBr

6️⃣ Agentic Inbox
Cloudflare开源的AI邮件客户端，AI帮你读收件箱、起草回复，全程数据不出你的地盘。没有外部服务器，没有订阅费。
🔗 https://t.co/tbEaZSfis8

7️⃣ VoxCPM
几秒音频就能克隆声音，几十种语言高质量输出，还能凭一句文字描述捏出定制嗓音。
🔗 https://t.co/SlEimVxLez

8️⃣ Flowsint
输个域名，关联的IP、子域名、邮箱、加密钱包、社交账号全给你画成图。纯本地跑，做私密调查和OSINT情报的神器。
🔗 https://t.co/5UguHbZpwx

9️⃣ agent-skills
谷歌工程师Addy Osmani放出了他生产环境验证过的Claude Code技能库，API设计、调试、代码审查、CI/CD、前端工程全覆盖。
🔗 https://t.co/52Ef6XqvAz

🔟 Nango
企业每年砸几千刀的集成层，几百个预置API、托管OAuth、AI生成集成代码，一堆高速创业公司和企业团队都在用。
🔗 https://t.co/tlv7hGZZs1

这些可不是练手的玩具项目，每一个都能替掉你还在月月付费的软件。

挑一个，装上，塞进你的工作流。100%免费，100%开源。

省下的钱，记得请鸟哥喝杯咖啡。

[Mr. Buzzoni @polydao]

> do you understand what Claude Opus 4.8 just did to the Google job market
> a senior Google engineer with 11 years of experience
> stacked 32 Claude skills on top of his workflow
> 8hrs → 2-3hrs per day
> $95K developer vs $300K AI architect
> same job. different stack. very different salary
> the exact skill list is here 👇

[Mr. Buzzoni @polydao]

Atlassian's CEO after firing the engineer who built their $1.79B infrastructure and the guy released a 38-minute breakdown of everything he built, free for anyone to copy

[Shushant Lakhyani @shushant_l]

📂 claude setup
┃
┣ 📂 models
┃ ┣ 📂 claude haiku 4.5
┃ ┣ 📂 claude sonnet 4.6
┃ ┣ 📂 claude opus 4.7
┃ ┣ 📂 extended thinking
┃ ┗ 📂 adaptive thinking
┃
┣ 📂 setup
┃ ┣ 📂 user preferences
┃ ┣ 📂 memory
┃ ┣ 📂 projects
┃ ┣ 📂 custom instructions
┃ ┗ 📂 workflow optimization
┃
┣ 📂 projects
┃ ┣ 📂 persistent workspaces
┃ ┣ 📂 uploaded files
┃ ┣ 📂 spreadsheets
┃ ┣ 📂 product briefs
┃ ┣ 📂 prompts
┃ ┗ 📂 project context
┃
┣ 📂 memory
┃ ┣ 📂 conversation history
┃ ┣ 📂 writing preferences
┃ ┣ 📂 ongoing projects
┃ ┣ 📂 language style
┃ ┗ 📂 workflow habits
┃
┣ 📂 connectors
┃ ┣ 📂 google drive
┃ ┣ 📂 github
┃ ┣ 📂 slack
┃ ┣ 📂 notion
┃ ┣ 📂 hubspot
┃ ┗ 📂 jira
┃
┣ 📂 claude code
┃ ┣ 📂 terminal access
┃ ┣ 📂 codebase analysis
┃ ┣ 📂 debugging
┃ ┣ 📂 refactoring
┃ ┣ 📂 api integrations
┃ ┗ 📂 command execution
┃
┣ 📂 cowork
┃ ┣ 📂 desktop automation
┃ ┣ 📂 app control
┃ ┣ 📂 workflow execution
┃ ┣ 📂 productivity agent
┃ ┗ 📂 local system access
┃
┣ 📂 advanced features
┃ ┣ 📂 context window
┃ ┣ 📂 research mode
┃ ┣ 📂 incognito chats
┃ ┣ 📂 web search
┃ ┗ 📂 code execution
┃
┣ 📂 productivity
┃ ┣ 📂 research workflows
┃ ┣ 📂 content creation
┃ ┣ 📂 coding workflows
┃ ┣ 📂 business operations
┃ ┗ 📂 deep analysis
┃
┣ 📂 optimization
┃ ┣ 📂 auto memory
┃ ┣ 📂 structured prompts
┃ ┣ 📂 project instructions
┃ ┣ 📂 reusable context
┃ ┗ 📂 system organization
┃
┣ 📂 collaboration
┃ ┣ 📂 saved chats
┃ ┣ 📂 imported projects
┃ ┣ 📂 shared workflows
┃ ┣ 📂 team productivity
┃ ┗ 📂 knowledge management
┃
┣ 📂 security
┃ ┣ 📂 privacy controls
┃ ┣ 📂 incognito mode
┃ ┣ 📂 memory controls
┃ ┣ 📂 secure chats
┃ ┗ 📂 permission settings
┃
┣ 📂 usage
┃ ┣ 📂 writing
┃ ┣ 📂 analysis
┃ ┣ 📂 coding
┃ ┣ 📂 brainstorming
┃ ┗ 📂 automation
┃
┗ 📂 scaling
┣ 📂 ai workflows
┣ 📂 productivity systems
┣ 📂 personal operating system
┣ 📂 business automation
┗ 📂 ai powered execution

[Rohit @rohit4verse]

andrej karpathy spent two hours teaching one thing: tokens are the atom of llms. tokenization is at the heart of every llm weirdness you've ever debugged.

[watch the 15-min clip below. then run the 7-day playbook]
↓ save this before everyone copies it

learn how the tokenizer works. understand how your llm actually consumes input. then run the engineering roadmap that took one production agent from $4,800/mo to $620/mo in 7 days.

87% reduction. no model swap. no framework migration. no quality drop on the eval set.

token cost in 2026 is an engineering discipline. every line of your system prompt is rent you pay forever.

what was eating the budget:

→ a single forgotten cron job ate 47% of one team's bill. they turned it off on a tuesday and the bill dropped before they wrote any optimization code.

→ anthropic ships a 90% discount on cache reads. one config line, cache_control ephemeral, break-even after one hit. most teams cache the volatile parts of the prompt and watch their hit rate sit at 12%.

→ one production agent went from 14,500 tokens of context overhead per turn to 850. a 94% drop. output quality held within 2% of the uncompressed baseline.

→ 60% of agent calls are haiku-tier work running on opus rates. classify the task first. pick the model second.

→ retry loops are the silent killer. no MAX_STEPS bound, one bad search query, $14 burned in a single session. one team traced 38% of their bill to this single pattern.

karpathy gave you the atom. the playbook below gives you the harness.

watch the lecture. read the playbook ↓

[#ШОТАМ @Sho_Tam_]

У червні в Японії презентують ще одну манґу, присвячену українським оборонцям 🇯🇵🫶🏼🇺🇦

Ілюстратор Мацуда Джюко, який у 2022 році випустив популярний в Японії комікс про Привида Києва, випустить нову роботу про воїнів української ППО.

Shahed Hunter («Мисливець на “шахеди”») — історія про тих, хто береже українське небо й відбиває російські атаки. Її офіційна презентація відбудеться під час фестивалю авторських коміксів Comitia 156, що пройде 7 червня в Токіо.

фото і новина: matsudaHI, X (Twitter)

[priyanshu.sol @priyanshudotsol]

someone wrote a 680 page interactive book on cs algorithms

[Craft Gallery @5min__crafts]

Try this 😜

[Tom Dörr @tom_doerr]

Claude-powered Obsidian skill for active knowledge management

https://t.co/tWem59TciH

[Engineering Knowledge @DP0STS]

Smart Ways to Fold Clothes

[Андрій Козаченко 🇺🇦 @AndreKozachenko]

@shikhr_ Wow

[Don Quijote de la IA @IA_Quijote]

Cómo hacer un avión de papel PRO

[Chris Power @typecraft_dev]

Based

[Gunter Rotsaert @mydevlprplanet]

Software Architecture Guide. By Martin Fowler.

https://t.co/AyV3VHiAt0

[Suni @suni_code]

Realizing I spent $1000 on courses… only for them to become irrelevant in months... and then Microsoft drops FREE AI certifications.

[Piotr Mińkowski @piotr_minkowski]

Using Model Context Protocol (MCP) with Spring AI https://t.co/I03gCjR1Cl

[How To Prompt @HowToPrompt__]

🚨 BREAKING: Someone just built a web-based System Design Simulator.

It's called Paperdraw. It lets you drag and drop components to see how they handle real-world conditions like traffic, failures, latency, and scaling in real time.

100% free to try.